mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
127 lines
4.6 KiB
Python
Executable File
127 lines
4.6 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import argparse as _arg
|
|
import os as _os
|
|
import pathlib as _pl
|
|
import subprocess as _sp
|
|
import sys as _sys
|
|
import typing as _tp
|
|
|
|
|
|
def run_command(command: _tp.Sequence[str], *, cwd=None, **kwargs) -> None:
|
|
print(f"Running: cd %s && %s" %
|
|
(str(cwd or _pl.Path.cwd()), " ".join(command)))
|
|
_sp.check_call(command, cwd=cwd, **kwargs)
|
|
|
|
|
|
def build_engine(weigth_dir: _pl.Path, engine_dir: _pl.Path, *args):
|
|
build_args = [_sys.executable, "examples/gptj/build.py"] + (
|
|
['--model_dir', str(weigth_dir)] if weigth_dir else []) + [
|
|
'--output_dir',
|
|
str(engine_dir),
|
|
'--dtype=float16',
|
|
'--logits_dtype=float16',
|
|
'--use_gemm_plugin=float16',
|
|
'--use_layernorm_plugin=float16',
|
|
'--max_batch_size=32',
|
|
'--max_input_len=40',
|
|
'--max_output_len=20',
|
|
'--max_beam_width=2',
|
|
'--log_level=error',
|
|
] + list(args)
|
|
run_command(build_args)
|
|
|
|
|
|
def build_engines(model_cache: _tp.Optional[str] = None, only_fp8=False):
|
|
resources_dir = _pl.Path(__file__).parent.resolve().parent
|
|
models_dir = resources_dir / 'models'
|
|
model_name = 'gpt-j-6b'
|
|
|
|
# Clone or update the model directory without lfs
|
|
hf_dir = models_dir / model_name
|
|
if hf_dir.exists():
|
|
assert hf_dir.is_dir()
|
|
run_command(["git", "pull"], cwd=hf_dir)
|
|
else:
|
|
model_url = "file://" + str(
|
|
_pl.Path(model_cache) / model_name
|
|
) if model_cache else "https://huggingface.co/EleutherAI/gpt-j-6b"
|
|
run_command(["git", "clone", model_url, "--single-branch", model_name],
|
|
cwd=hf_dir.parent,
|
|
env={
|
|
**_os.environ, "GIT_LFS_SKIP_SMUDGE": "1"
|
|
})
|
|
|
|
assert (hf_dir.is_dir())
|
|
|
|
# Download the model file
|
|
model_file_name = "pytorch_model.bin"
|
|
if model_cache:
|
|
run_command([
|
|
"rsync", "-av",
|
|
str(_pl.Path(model_cache) / model_name / model_file_name), "."
|
|
],
|
|
cwd=hf_dir)
|
|
else:
|
|
run_command(["git", "lfs", "pull", "--include", model_file_name],
|
|
cwd=hf_dir)
|
|
|
|
assert ((hf_dir / model_file_name).is_file())
|
|
|
|
engine_dir = models_dir / 'rt_engine' / model_name
|
|
|
|
if only_fp8:
|
|
# with ifb, new plugin
|
|
print(
|
|
"\nBuilding fp8-plugin engine using gpt_attention_plugin with inflight-batching, packed"
|
|
)
|
|
build_engine(
|
|
hf_dir, engine_dir / 'fp8-plugin/1-gpu',
|
|
'--use_gpt_attention_plugin=float16', '--enable_fp8',
|
|
'--fp8_kv_cache', '--use_inflight_batching', '--paged_kv_cache',
|
|
'--remove_input_padding', '--quantized_fp8_model_path=' + str(
|
|
_pl.Path(model_cache) / 'fp8-quantized-ammo' /
|
|
'GPTJ-07142023.pth'))
|
|
else:
|
|
print("\nBuilding fp16-plugin engine")
|
|
build_engine(hf_dir, engine_dir / 'fp16-plugin/1-gpu',
|
|
'--use_gpt_attention_plugin=float16')
|
|
|
|
print("\nBuilding fp16-plugin-packed engine")
|
|
build_engine(hf_dir, engine_dir / 'fp16-plugin-packed/1-gpu',
|
|
'--use_gpt_attention_plugin=float16',
|
|
'--remove_input_padding')
|
|
|
|
print("\nBuilding fp16-plugin-packed-paged engine")
|
|
build_engine(hf_dir, engine_dir / 'fp16-plugin-packed-paged/1-gpu',
|
|
'--use_gpt_attention_plugin=float16',
|
|
'--use_inflight_batching')
|
|
print("Done.")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = _arg.ArgumentParser()
|
|
parser.add_argument("--model_cache",
|
|
type=str,
|
|
help="Directory where models are stored")
|
|
parser.add_argument(
|
|
"--only_fp8",
|
|
action="store_true",
|
|
help="Build engines for only FP8 tests. Implemented for H100 runners.")
|
|
|
|
build_engines(**vars(parser.parse_args()))
|